A distributed energy system (DES) is recognized as a local energy system. Over the past decade, number
of studies in technological fields, economizing and its regulatory aspects corroborated that an increasing
attention has been paid toward the planning ofthese systems. However, lack of a proper planning because
of simplifications in the assumptions may overshadow the potentials of the DESs hitherto. Disregarding
some intrinsic characteristics of a real world like uncertainties and noises may distort results and consequently
undermine its efficiency. This paper mainly focused on designing a building’s energy system
under demand, costs (like carbon emission cost, primary energy saving. . .) and prices (like fuel tariff and
electricity prices. . .) uncertainties concerning data insufficiency by means of robust optimization. Various
sustainable technologies such as photovoltaic arrays were also considered as an alternative. In order
to study the probable consequences, the proposed robust model was applied to a real-world problem
and the outcomes were presented, analyzed and compared to the deterministic model’s results.